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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 2453
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    Explanations

    references to the year 1960

    oai_token-act-pair · gpt-3.5-turbo

    references to the 1960s

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    head
    -0.89
    kell
    -0.83
    atro
    -0.83
    plan
    -0.81
    par
    -0.72
    spons
    -0.72
    semble
    -0.70
    abol
    -0.69
    heading
    -0.66
    REDACTED
    -0.66
    POSITIVE LOGITS
    s
    0.93
    sburg
    0.88
    eenth
    0.80
    ishers
    0.79
    sie
    0.76
    ties
    0.75
    rities
    0.72
    -'
    0.72
    å¹
    0.71
    ies
    0.70
    Activations Density 0.027%

    No Known Activations